A5100332485- Non-Destructive Testing Techniques
- Welding Techniques and Residual Stresses
- Thermography and Photoacoustic Techniques
- Ultrasonics and Acoustic Wave Propagation
- Industrial Vision Systems and Defect Detection
- Advanced Sensor Technologies Research
- Advanced Measurement and Detection Methods
- Sensor Technology and Measurement Systems
- Advanced Sensor and Control Systems
- Geophysical Methods and Applications
- Embedded Systems and FPGA Design
- Scientific Measurement and Uncertainty Evaluation
- Calibration and Measurement Techniques
- Advanced Algorithms and Applications
- Wireless Sensor Networks and IoT
- Optical measurement and interference techniques
- Metal and Thin Film Mechanics
- Flow Measurement and Analysis
- Electromagnetic Launch and Propulsion Technology
- Advanced MEMS and NEMS Technologies
- Advanced Surface Polishing Techniques
- Geophysical and Geoelectrical Methods
- Antenna Design and Analysis
- Advanced Computational Techniques and Applications
- Magnetic Properties and Applications
North University of China
2016-2025
Southwestern Institute of Physics
2020-2024
Jilin University
2023-2024
Tianjin University of Science and Technology
2024
Henan University of Science and Technology
2023
Beijing Normal University
2023
Jiangsu University of Science and Technology
2023
Xiamen University of Technology
2022
Taiyuan University of Technology
2021
Systems Engineering Society of China
2020
Carbon fiber reinforced polymer (CFRP) materials have been widely used in aerospace and other fields because of their excellent properties such as high temperature resistance corrosion resistance, so the nondestructive inspection technology for CFRP has become a hot research topic. In this paper, we propose method based on infrared thermography Attention U-Net algorithm to characterize defect shape material surface. Firstly, surface is scanned by line laser trend its distribution recorded...
In this article, the shape characterization and depth detection of delamination defects in carbon fiber reinforced polymer (CFRP) sandwich are achieved by detecting through line laser infrared thermography. terms defect characterization, temperature matrix difference imaging method is proposed to characterize internal defects, distortion corrected principal component analysis algorithm optimize effect characterization. detection, study constructs a dataset cooling curves for different depths...
The inductance/impedance due to thin metallic structures in non-destructive testing (NDT) is difficult evaluate. In particular, Finite Element Method (FEM) eddy current simulation, an extremely fine mesh required accurately simulate skin effects especially at high frequencies, and this could cause large total for the whole problem, i.e. including, example, other surrounding excitation sources like coils. Consequently, intensive computation requirements are needed. paper, equivalent-effect...
Eddy current testing (ECT) is an effective technique for evaluating depth of metal surface defects. However, in practice, evaluation primarily relies on the experience operator and often carried out by manual inspection. In this paper, we address challenges automatic defects virtual state-of-the-art deep learning (DL) techniques. The main contributions are three-fold. Firstly, a highly-integrated portable ECT device developed, taking advantage advanced field programmable gate array...
Carbon fiber reinforced polymers (CFRPs) are widely used in fields such as aviation and aerospace. However, subtle defects can significantly impact the material’s service life, making defect detection a critical priority. In this paper, delamination CFRP detected using line laser infrared thermography, characterization algorithm that combines differential thermography with frequency-domain filter is proposed. This approach effectively eliminates trailing phenomenon caused by scanning...
Eddy current testing possesses the advantages of non-contact and fast response, which provides a new development direction for non-magnetic metal classification. In eddy classification detection research, most them can only achieve some metals under specific conditions, accuracy with random lifting height placement position still needs to be improved. To address above problems, this paper proposes method based on array sensors that are not affected by multivariate environment, combining...
Abstract Carbon fiber reinforced polymers (CFRP) are widely used in fields such as aviation and aerospace. However, subtle defects can significantly impact the material's service life, making defect detection a critical priority. This paper presents method for detecting delamination carbon composites using line laser infrared thermography. A preprocessing approach combining differential thermography frequency-domain filtering is proposed to effectively eliminate trailing artifacts caused by...
Infrared thermography is a real-time and efficient method for defect detection. This study utilizes line laser scanning infrared to detect cracks in manually laid-up unidirectional CFRP, 3D-printed CFRP cracks, naturally occurring microcracks deflectors. In layered detection performance influenced by the layup direction, with aligned exhibiting minimal hindrance heat conduction, resulting weaker high-frequency components thermal images poorer accuracy. contrast, composite structure of...
Eddy current based approaches have been investigated for a wide range of inspection applications. Dodd-Deeds model and the truncated region eigenfunction expansion (TREE) method are widely applied in various occasions, mostly cases that sample is relatively larger than radius sensor coil. The TREE converts integral expressions to summation many terms region. In recent work, impedance co-axial air-cored due plate finite was calculated by modified analytical approach proposed authors. this...
Previously, a conductivity invariance phenomena (CIP) has been discovered – at certain lift-off, the inductance change of sensor due to test sample is immune variations, i.e. lift-off curve passes through common point termed as lift-off. However, this fixed for particular setup, which not convenient various conditions. In paper, we propose using two parameters in coil design horizontal and vertical distances between transmitter receiver control The relationship these investigated by...
Near-ground channel characterization is an important issue in most military applications of wireless sensor networks. However, the at ground level lacks characterization. In this paper, we present a path loss model for three near-ground scenarios. The values each scenario were captured through extensive measurements, and then least-square linear regression was performed. This indicates that log-distance-based still suitable modeling scenarios, prediction accuracy two-slope superior to...